1. Research Data Management for Researchers:
Module 1: Intro to Data, Metadata and the Research Data Lifecycle
—DRAFT—
Glen Newton∗
Paul Budkewitsch†
∗
Glen.Newton@gmail.com
†
Paul.Budkewitsch@nrcan-rncan.gc.ca
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2. Outline
Some definitions
Some definitions
Data Sharing
Research & Research Data Sharing
Data Lifecycle
Research Data Research & Research Data Lifecycle
Complexity
Data Archiving
Research Data Complexity
Data Management Roles
Data Archiving
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Data Management Roles
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3. Some definitions
Some definitions
What is:
Data Sharing
Research & Research s Research?
Data Lifecycle
s Research Data?
Research Data
Complexity s Research & Research Data Life Cycles?
Data Archiving
Data Management Roles
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4. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
Data Sharing
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5. Data is becoming more important
Some definitions
In the past, more emphasis was given to publications.
Data Sharing
This is changing.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
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6. Diepenbroek, M., Schindler, U., Grobe, H. 2008.
PANGAEA - An ICSU World Data Center as a Networked Publication and Library System for Geoscientific Data
http://hdl.handle.net/10013/epic.28613

7. Research Data Disappears
Some definitions
s The status quo is for most research data to (eventually) disappear:
Data Sharing
except for large well organized projects, historically most research
Research & Research
Data Lifecycle data collected has already disappeared.
Research Data s Not through malice, just through mismanagement or more
Complexity
Data Archiving
accurately a lack of management
Data Management Roles
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8. Degradation in information content associated with data and metadata over time
Status quo
Information Content of Data and Metadata Time of publication
Specific details about problems with individual items or specific
dates of collection are lost relatively rapidly
General details about the data collection are lost
through time
Retirement or career change makes access by
scientists to “mental storage” difficult or unlikely
Accident may destroy Death of investigator and subse-
data and documentation quent loss of remaining records
Time
´
de la Sablonniere, Auger, Sabourin and Newton. 2010. Facilitating Data Sharing
in the Behavioral Sciences. Submitted to Data Science Journal.
After Michener et al. 1997, Nongeospatial Metadata for the Ecological Sciences.
Ecological Applications 7:1:330-342
10.1890/1051-0761(1997)007[0330:NMFTES]2.0.CO;2

9. Why Share data?
Some definitions
s encourages scientific enquiry and debate
Data Sharing
s enables scrutiny of research outcomes
Research & Research
Data Lifecycle s facilitates research beyond the scope of the original research
Research Data s leads to new collaborations between data users and data creators
Complexity
Data Archiving
s reduces the cost of duplicating data collection
Data Management Roles
s provides important resources for education and training
Next Modules s encourages the improvement and validation of research methods
s promotes the research that created the data and its outcomes
s can provide a direct credit to the researcher as a research output in
its own right
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10. Benefits of Data Sharing
Some definitions “Within this new technological context, more widespread and efficient access
Data Sharing to and sharing of research data will have substantial benefits for public
Research & Research
Data Lifecycle
scientific research. Open access to, and sharing of, data reinforces open
Research Data
scientific inquiry, encourages diversity of analysis and opinion, promotes new
Complexity research, makes possible the testing of new or alternative hypotheses and
Data Archiving methods of analysis, supports studies on data collection methods and
Data Management Roles measurement, facilitates the education of new researchers, enables the
Next Modules exploration of topics not envisioned by the initial investigators, and permits
the creation of new data sets when data from multiple sources are combined.
Sharing and open access to publicly funded research data not only helps to
maximize the research potential of new digital technologies and networks, but
provides greater returns from the public investment in research.”
OECD. 2003. Promoting Access to Public Research Data for Scientific, Economic, and Social Development: OECD Follow
Up Group on Issues of Access to Publicly Funded Research Data.
http://dataaccess.ucsd.edu/Final Report 2003.pdf
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11. Unpredicted re–use of data
Some definitions
s Data often has value beyond that planned or even imagined by the
Data Sharing
collector of the data
Research & Research
Data Lifecycle s And combining it with other data can often support the discovery of
Research Data emergent processes
Complexity
Data Archiving
Data Management Roles
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12. Unpredicted re–use of data
Some definitions
What is the following?
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
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14. Page from a ship’s log
Some definitions
New Zealand, October 1769
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
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17. These are Captain James Cook’s logs
Some definitions
“His Majestys Bark [a type of ship] Endeavour on Her Passage On the
Data Sharing
Coast of New Zealand from Poverty Bay to Southw
Research & Research
Data Lifecycle October 15th 1769; Course: S 20 ◦ E; Winds: Vary; Location:
Research Data 39◦ 50 180◦ 51 ; Moderate and fair weather...thunder and spitting
Complexity
Data Archiving
rain...” — Log 39, page 79. UK National Archives
Data Management Roles s Record of date, time, location (lat/long), the sea conditions and
Next Modules local weather conditions
s Now being mined by JISC, the University of Sunderland, the Met
Office Hadley Centre and the British Atmospheric Data Centre for
climate change research1
1
http://www.nationalarchives.gov.uk/news/stories/371.htm
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19. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
Research & Research Data Lifecycle
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20. Research & Research Data Lifecycle
Some definitions
Various perspectives
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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21. Pepe,A. & Mayernik, M & Borgman, C. & Van de Sompel, H.
Technology to Represent Scientific Practice: Data, Life Cycles, and Value Chains
http://arxiv.org/abs/0906.2549

22. Lord, P., A. Macdonald, L. Lyon & D. Giarretta. 2004.
From Data Deluge to Data Curation. In Proceedings of the UK e-science
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/150.pdf

23. Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf

24. Humphrey, C. 2006. e-Science and the Life Cycle of Research
http://datalib.library.ualberta.ca/∼humphrey/lifecycle-science060308.doc

25. Interagency Working Group on Digital Data. 2009. Harnessing the Power of Digital Data for Science and Society
http://www.whitehouse.gov/files/documents/ostp/opengov inbox/harnessing power web.pdf

26. Very complete view:
Bechhofer, S. & D. Roure & M. Gamble & C. Goble & I. Buchan. 2010.
Research Objects: Towards Exchange and Reuse of Digital Knowledge.
Nature Preceedings.
http://dx.doi.org/10.1038/npre.2010.4626.1

27. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
Research Data Complexity
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28. Research Data Complexity
Some definitions
s Data
Data Sharing
s Metadata
Research & Research
Data Lifecycle s Transformations (derived data/metadata), combinations
Research Data s More Metadata
Complexity
Data Archiving
Data Management Roles
Next Modules
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29. Research Data Complexity
Some definitions
Real research projects can have extremely complex data collection and
Data Sharing
management needs.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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30. Wallis, J. 2008. Moving Archival Practices Upstream: An Exploration of the Life Cycle
of Ecological Sensing Data in Collaborative Field Research Lineage
Retrieval for Scientific Data Processing: A Survey.
The International Journal of Digital Curation 1:3
http://www.ijdc.net/index.php/ijdc/article/view/67

31. Research Data Complexity
Some definitions
Data collection and management complexity are effected by a number
Data Sharing
of factors. For example:
Research & Research
Data Lifecycle s multiple researchers
Research Data s multiple teams
Complexity
s inter– and multi– disciplinary
Data Archiving
s multiple jurisdictions
Data Management Roles
s multiple funding agencies
Next Modules
s multiple types of funding agencies (government, industry, philanthropic)
s long term projects
s human subjects
s multiple/competing vocabularies/ontologies/metadata standards
s data formats, data transformation, data quality control
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32. What is Metadata?
Some definitions
“Metadata is structured information that describes, explains, locates, or
Data Sharing
otherwise makes it easier to retrieve, use, or manage an information
Research & Research
Data Lifecycle resource. Metadata is often called data about data or information about
Research Data information.”
Complexity
Data Archiving
Data Management Roles
Next Modules NISO. 2004. Understanding Metadata.
http://http://www.ijdc.net/index.php/ijdc/article/view/67
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33. What is Metadata?
Some definitions
Three main types of metadata:
Data Sharing
Research & Research s “Descriptive metadata describes a resource for purposes such as
Data Lifecycle
discovery and identification. It can include elements such as title,
Research Data
Complexity abstract, author, and keywords.”
Data Archiving s “Structural metadata indicates how compound objects are put
Data Management Roles together, for example, how pages are ordered to form chapters. “
Next Modules s “Administrative metadata provides information to help manage a
resource, such as when and how it was created, file type and other
technical information, and who can access it.”
NISO. 2004. Understanding Metadata.
http://http://www.ijdc.net/index.php/ijdc/article/view/67
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34. What is Metadata?
Some definitions
Administrative metadata usually divided into two types:
Data Sharing
Research & Research s “Rights management metadata, which deals with intellectual
Data Lifecycle
property rights.”
Research Data
Complexity s “Preservation metadata, which contains information needed to
Data Archiving archive and preserve a resource.”
Data Management Roles
Next Modules
NISO. 2004. Understanding Metadata.
http://http://www.ijdc.net/index.php/ijdc/article/view/67
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35. Research Data Complexity
Some definitions
Real research projects often have data that is described by many
Data Sharing
metadata standards
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
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36. Brandt, D.S. 2007. Data, research, metadata, metaresearch.
ACRL/STS, ALA annual meeting
http://ala.org/ala/mgrps/divs/acrl/about/sections/sts/programs/annual2007programs/brandt.pdf

37. Research Data Complexity
Some definitions
As data is transformed, translated, filtered, combined with other data in
Data Sharing
a research data workflow, lineage or provenance metadata can capture
Research & Research
Data Lifecycle the nature of these changes.
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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38. Bose, R. & Frew, J. 2005. Lineage Retrieval for Scientific Data Processing: A Survey.
ACM Computing Surveys 37:1
http://dx.doi.org/10.1145/1057977.1057978

39. Research Data Complexity
Some definitions
Some of these work flows can be very complex.
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
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40. Davidson, S. & Freire, J. 2008. Provenance and scientific workflows: challenges and opportunities.
SIGMOD ’08: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data
http://dx.doi.org/10.1145/1376616.1376772

41. Freire,J. & Koop, D. & Santos, E. & Silva, C.T. 2008. Provenance for Computational Tasks: A Survey.
Computing in Science & Engineering
http://dx.doi.org/10.1109/MCSE.2008.79

42. Barga, R. & Digiampietri,L. 2008. Automatic capture and efficient storage of e-Science experiment provenance.
Concurrency and Computation: Practice and Experience 20:5:419-429
http://dx.doi.org/10.1002/cpe.1235

43. Bowers, S. & McPhillips, T. & Ludscher, B. 2008. Provenance in collection-oriented scientific workflows.
Concurrency and Computation: Practice and Experience 20:5:519-529
http://dx.doi.org/10.1002/cpe.1235

44. Research Data Complexity
Some definitions
Some transformations can cause metadata to become data!
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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45. Jones, M. and Schildhauer, P. and Reichman, O. and Bowers, Shawn. 2006.
The New Bioinformatics: Integrating Ecological Data from the Gene to the Biosphere.
Annual Review of Ecology, Evolution, and Systematics 37:1:519-544.
http://dx.doi.org/10.1146/annurev.ecolsys.37.091305.110031

46. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
Data Archiving
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47. Data Archiving
Some definitions
s Medium
Data Sharing
s Migration
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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48. Medium
Some definitions
s The physical storage medium – both for analog and digital storage
Data Sharing
of information – has an expected lifespan.
Research & Research
Data Lifecycle s Digital media can deteriorate and alter the underlying data (bits) of
Research Data files well before their expected end of life
Complexity
Data Archiving
Data Management Roles
Next Modules
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49. Miller, S. 2002. Bridging the Gap between Libraries and Data Archives: Progress Report.
Presentation at Joint Informations Systems Committee (JISC, UK) and NSF Digital Libraries Initiative All Projects Meeting, Edinburgh, Scotland.
http://gdc.ucsd.edu:8080/digarch/about-project/presentations/edinburgh2002/view

50. Medium
Some definitions
Any single project can have a number of initial physical media.
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
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51. Diepenbroek, M., Schindler, U., Grobe, H. 2008.
PANGAEA - An ICSU World Data Center as a Networked Publication and Library System for Geoscientific Data
http://hdl.handle.net/10013/epic.28613

52. Migration
Some definitions
s Before the end–of–life of a medium, its contents need to be copied
Data Sharing
reliably (bits verified) to a new medium (the same kind or different)
Research & Research
Data Lifecycle s The provenance metadata needs to be updated when this occurs
Research Data s Sometimes the ability to read the old medium is difficult or not
Complexity
Data Archiving
possible, as the technology has progressed and due to the lack of
Data Management Roles
availability of the appropriate working readers (i.e. 9–track tape
Next Modules readers)
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53. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
Data Management Roles
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54. Data Management Roles
Some definitions
Understanding roles in the research data workflow is helpful in
Data Sharing
succcessfully managing data.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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55. Data Management Roles
Some definitions
One view:
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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56. Pryor, G. & Donnelly, M. 2009. Skilling Up to Do Data: Whose Role, Whose Responsibility, Whose Career?
International Journal of Digital Curation 4:2
http://www.ijdc.net/index.php/ijdc/article/view/126

57. Roles & Responsibilities: Another view
Some definitions
Liz Lyon, Director, United Kingdom Office for Library and Information
Data Sharing
Networking (UKOLN)
Research & Research
Data Lifecycle
s Scientist: creation and use of data
Research Data
Complexity s Institution: curation of and access to data
Data Archiving s Data centre: curation of and access to data
Data Management Roles s User: use of 3rd party data
Next Modules s Funder: set/react to public policy drivers
s Publisher: maintain integrity of the scientific record
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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58. Roles & Responsibilities: Scientist
Some definitions s Rights:
Data Sharing
Research & Research
x Of first use.
Data Lifecycle x To be acknowledged.
Research Data x To expect IPR to be honoured.
Complexity
x To receive data training and advice.
Data Archiving
Data Management Roles s Responsibilities:
Next Modules x Manage data for life of project.
x Meet standards for good practice.
x Comply with funder / institutional data policies and respect IPR of
others.
x Work up data for use by others.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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59. Roles & Responsibilities: Scientist (cont.)
Some definitions s Relationships:
Data Sharing
Research & Research
x With institution as employee.
Data Lifecycle x With subject community
Research Data x With data centre.
Complexity
x With funder of work.
Data Archiving
Data Management Roles
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
Next Modules http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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60. Roles & Responsibilities: Institution
Some definitions s Rights:
Data Sharing
Research & Research
x To be offered a copy of data.
Data Lifecycle
s Responsibilities:
Research Data
Complexity
x Set internal data management policy.
Data Archiving
x Manage data in the short term.
Data Management Roles
x Meet standards for good practice.
Next Modules x Provide training and advice to support scientists.
x Promote the repository service.
s Relationships:
x With scientist as employer.
x With data centre through expert staff.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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61. Roles & Responsibilities: Data Centre
Some definitions s Rights:
Data Sharing
Research & Research
x To be offered a copy of data.
Data Lifecycle x To select data of long-term value.
Research Data
Complexity s Responsibilities:
Data Archiving
x Manage data for the long-term.
Data Management Roles
x Meet standards for good practice.
Next Modules x Provide training for deposit.
x Promote the repository service.
x Protect rights of data contributors.
x Provide tools for re-use of data.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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62. Roles & Responsibilities: Data Centre (cont.)
Some definitions s Relationships:
Data Sharing
Research & Research
x With scientist as client
Data Lifecycle x With user communities.
Research Data x With institution through expert staff.
Complexity
x With funder of service.
Data Archiving
Data Management Roles
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
Next Modules http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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63. Roles & Responsibilities: User
Some definitions s Rights:
Data Sharing
Research & Research
x To re-use data (non-exclusive licence).
Data Lifecycle x To access quality metadata to inform usability.
Research Data
Complexity s Responsibilities:
Data Archiving
x Abide by licence conditions.
Data Management Roles
x Acknowledge data creators / curators.
Next Modules x Manage derived data effectively.
s Relationships:
x With data centre as supplier.
x With institution as supplier.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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64. Roles & Responsibilities: Funder (1/2)
Some definitions s Rights:
Data Sharing
Research & Research
x To implement data policies.
Data Lifecycle x To require those they fund to meet policy obligations.
Research Data
Complexity s Responsibilities:
Data Archiving
x Consider wider public-policy perspective & stakeholder needs
Data Management Roles
x Participate in strategy co-ordination.
Next Modules x Develop policies with stakeholders.
x Participate in policy co-ordination, joint planning & fund service
delivery.
x Monitor and enforce data policies.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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65. Roles & Responsibilities: Funder (2/2)
Some definitions s Responsibilities (cont.):
Data Sharing
Research & Research
x Resource post-project long-term data management.
Data Lifecycle x Act as advocate for data curation & fund expert advisory service(s).
Research Data x Support workforce capacity development of data curators.
Complexity
Data Archiving s Relationships:
Data Management Roles
x With scientist as funder.
Next Modules x With institution.
x With data centre as funder.
x With other funders.
x With other stakeholders as policy-maker and funder of services.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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66. Roles & Responsibilities: Publisher
Some definitions s Rights:
Data Sharing
Research & Research
x To expect data are available to support publication.
Data Lifecycle x To request pre-publication data deposit in long-term repository.
Research Data
Complexity s Responsibilities:
Data Archiving
x Engage stakeholders in development of publication standards.
Data Management Roles
x Link to data to support publication standards.
Next Modules x Monitor & enforce public. standards.
s Relationships:
x With scientist as creator, author and reader.
x With data centres and institutions as suppliers.
Directly from: Lyon, L. 2007. Dealing with Data: Roles, Rights, Responsibilities and Relationships
http://www.ukoln.ac.uk/ukoln/staff/e.j.lyon/reports/dealing with data report-final.pdf
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67. Research Lifecycle
Some definitions
Where is the researcher in the lifecycle?
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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68. Interagency Working Group on Digital Data. 2009. Harnessing the Power of Digital Data for Science and Society
http://www.whitehouse.gov/files/documents/ostp/opengov inbox/harnessing power web.pdf

69. Research Lifecycle
Some definitions
The Research Lifecycle needs to evolve to support Data Management...
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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70. Lord, P. & A. Macdonald. 2003.
e-Science Curation Report: Data curation for e-Science in the UK: an audit to establish requirements for future curation and provision
http://www.jisc.ac.uk/uploaded documents/e-ScienceReportFinal.pdf

71. Lord, P. & A. Macdonald. 2003.
e-Science Curation Report: Data curation for e-Science in the UK: an audit to establish requirements for future curation and provision
http://www.jisc.ac.uk/uploaded documents/e-ScienceReportFinal.pdf

72. Lord, P. & A. Macdonald. 2003.
e-Science Curation Report: Data curation for e-Science in the UK: an audit to establish requirements for future curation and provision
http://www.jisc.ac.uk/uploaded documents/e-ScienceReportFinal.pdf

73. Diepenbroek, M., Schindler, U., Grobe, H. 2008.
PANGAEA - An ICSU World Data Center as a Networked Publication and Library System for Geoscientific Data
http://hdl.handle.net/10013/epic.28613

74. Research Data Commons
Some definitions
The future suggested by the Australian National Data Service is perhaps
Data Sharing
the most complete vision, as it includes in the greater societal context.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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75. ANDS Technical Working Group. 2007. Towards the Australian Data Commons: A proposal for an Australian National Data Service
http://pfc.org.au/pub/Main/Data/TowardstheAustralianDataCommons.pdf

76. Some definitions
Data Sharing
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
Next Modules
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77. Next Modules
Some definitions Not covered (brief introduction to...):
Data Sharing
Research & Research
s Module 2: More hands on
Data Lifecycle
x Barriers to sharing
Research Data
Complexity x In–depth data and metadata examples
Data Archiving x Research Data Plan
Data Management Roles x Data formats
Next Modules s Module 3: Canadian and International Research Data Activities and
Organizations
x CNC/CODATA
x National Consultation Access to Scientific Research Data (2004)
x Research Data Canada
x International
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78. Acknowledgments
Some definitions
CNC/CODATA Committee; Margaret Haines, Carleton University;
Data Sharing
NRC/CISTI; Research Data Canada; Larry Speers.
Research & Research
Data Lifecycle
Research Data
Complexity
Data Archiving
Data Management Roles
Next Modules
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79. Contact and license
Some definitions
s Contact: Glen Newton glen.newton@gmail.com
Data Sharing
s License: Creative Commons Attribution-Noncommercial-Share Alike
Research & Research
Data Lifecycle
2.5 Canada License;
Research Data Paternit-Pas d’Utilisation Commerciale-Partage des Conditions Initiales
Complexity
l’Identique 2.5 Canada
Data Archiving
s Copyright: c 2009-2010 National Research Council, Natural
Data Management Roles
Next Modules
Resources Canada, Glen Newton
s Note: Various components copyright their respective owners
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